eMERGE IV Northwest: A partnership to evaluate the use of genomic information in the health care of diverse participants

eMERGE IV Northwest：评估基因组信息在不同参与者的医疗保健中的使用情况的合作伙伴关系

• 批准号: 10207713
• 负责人: David Russell Crosslin
• 金额: $ 168.24万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10207713
• 关键词: 3-Dimensional; Address; Adopted; Adult; Alaska Native; Asians; Caring; Clinical; Clinical Research; Clinical Trials Network; Collaborations; Colorectal Cancer; Coronary Arteriosclerosis; Data; Dedications; Development; Discipline; Disease; Economics; Education; Effectiveness; Electronic Health Record; Enrollment; Ensure; Environmental Risk Factor; Ethics; Ethnic group; Evaluation; Family; Family health status; Genetic; Genetic Risk; Genomic medicine; Genomics; Genotype; Glaucoma; Health; Health system; Healthcare; Informatics; Intervention; Leadership; Learning; Machine Learning; Measures; Medical; Medicine; Methods; Mission; Morbidity - disease rate; Multi-Institutional Clinical Trial; Native Americans; Natural Language Processing; Osteoporosis; Outcome; Outcome Measure; Pacific Island Americans; Participant; Pathogenicity; Patients; Penetrance; Performance; Pharmacogenetics; Phenotype; Population; Population Heterogeneity; Primary Health Care; Process; Provider; Publishing; Recording of previous events; Risk; Risk Assessment; Risk Factors; Risk Management; Sexual and Gender Minorities; Site; Underrepresented Populations; Universities; Variant; Washington; base; clinical care; clinical decision support; clinical practice; cohort; data curation; design; economic outcome; economic value; ethical legal social implication; genetic risk assessment; genome wide association study; genome-wide; genomic data; high risk; implementation outcomes; implementation science; improved; innovation; malignant breast neoplasm; medical specialties; mortality; non-genetic; novel; online resource; outreach; polygenic risk score; prevent; racial and ethnic; risk prediction; screening; social health determinants; support tools; tool

Project Abstract eMERGE IV (E4) proposes to investigate the implementation of 15 “genomic risk assessment” (GRA) scores in a network-wide set of diverse participants. These GRAs will include polygenic risk score (PRS) information, as well as risk information, such as personal and family health history, environmental and social health determinants, and physical and lab measures. The GRA will aggregate these factors into a single score to identify those who would benefit from screening and other interventions. Substantial challenges must be addressed before genomic medicine is a part of standard medical care. We will collaborate to refine multi-ancestry GRAs and support the inclusion of non-genetic risk factors extracted from the electronic health record with innovative natural language processing approaches and apply them in a cohort enriched for Asian ancestry, and sexual and gender minorities. The specific aims of our proposal are designed to use an implementation science approach to advance the integration of genomic data into clinical practice, including evaluation of patient perspectives and economic outcomes, and broadening the impact of eMERGE through collaborations. The University of Washington Medicine dedication to preventative health in a learning health system and broad expertise across genomics, statistical, ethical, informatic, implementation, outcomes and economic disciplines will support this multi-site clinical trial. Specific Aims: Aim 1: Refine GRA scores and outcomes measures for five high impact conditions, considering stakeholder input, for implementation in the electronic health record. The conditions are: colorectal cancer, breast cancer, osteoporosis, coronary artery disease, and glaucoma. Aim 2: Integrate 15 GRA scores and electronic clinical decision support for management into clinical care and the EHR and capture clinical outcomes. Aim 3: Evaluate the implementation, effectiveness, and economic utility of GRA result return.

项目摘要 eMERGE IV（E4）提议调查 15 项“基因组风险评估”（GRA）评分的实施情况 这些 GRA 将包括多基因风险评分 (PRS) 信息，如 以及风险信息，例如个人和家庭健康史、环境和社会健康 GRA 会将这些因素汇总为一个分数，以得出决定因素、物理和实验室测量结果。 确定哪些人将从筛查和其他干预措施中受益。 在基因组医学成为标准医疗保健的一部分之前，必须解决重大挑战。 合作完善多祖先 GRA，并支持纳入从提取的非遗传风险因素 电子健康记录与创新的自然语言处理方法，并将其应用于 我们提案的具体目标是： 旨在使用科学方法推进基因组数据与临床的整合 实践，包括评估患者的观点和经济结果，并扩大影响 eMERGE 通过合作致力于预防性健康。 学习卫生系统和跨基因组学、统计、伦理、信息、实施、 结果和经济学科将支持这项多地点临床试验。 具体目标： 目标 1：考虑利益相关者，针对五种高影响条件完善 GRA 分数和结果衡量标准 输入，用于在电子健康记录中实施的条件是：结直肠癌、乳腺癌、 骨质疏松症、冠状动脉疾病和青光眼。 目标 2：将 15 个 GRA 评分和电子临床决策支持纳入临床护理和管理中 EHR 并捕获临床结果。 目标 3：评估 GRA 结果回报的实施、有效性和经济效用。